CRIME DISTANCE VISUALISATION ON MAP BY DISTRICT
We will first observe the difference of crime by district
In [222]:
a4_dims = (20, 8.27)
fig, ax = pyplot.subplots(figsize=a4_dims)
plt.xlabel("District")
plt.ylabel("Incident number")
plt.title("Incident number by district")
sns.barplot(data=ind, x="NAME", y="INCIDENT_NUMBER");
We will now observe the number of crime on each district compared to their total population
In [231]:
sns.scatterplot(data=district, x="TOTAL_POP", y="NB_INCIDENTS",hue="NAME");
We can clearly see 2 group of district the one with high crime rate like Rowbury,Soouth End and the low crime rate like Charlestown. On the next slide we will display the crime on map by disctrict with an information on the distance to the police station to see if the high crimes district have a higer distribution of crime commited past a certain distance
In [237]:
maap_east_bo
Out[237]:
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In [242]:
maap_south_end
Out[242]:
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